Arnold-Beltrami-Childress flow

Example for the deeptime.data.abc_flow() dataset.

Once Loop Reflect

 import numpy as np
 from matplotlib import animation

 import matplotlib.pyplot as plt
 from mpl_toolkits.mplot3d import Axes3D

 from deeptime.data import abc_flow


 def update(num):
     data = scatters[num]
     graph.set_data(data[:, 0], data[:, 1])
     graph.set_3d_properties(data[:, 2])
     return graph,


 system = abc_flow(n_steps=25)
 scatters = [np.random.uniform(np.pi-.5, np.pi+.5, size=(500, 3))]
 for _ in range(50):
     scatters.append(system(scatters[-1], n_jobs=8))

 scatters = np.array(scatters)

 f = plt.figure(figsize=(18, 18))

 ax = f.add_subplot(1, 1, 1, projection='3d')
 ax.set_title('Evolution of test points in the ABC flowfield')
 graph, = ax.plot(*scatters[0].T, linestyle="", marker="o")
 ax.set_xlim([0, 2*np.pi])
 ax.set_ylim([0, 2*np.pi])
 ax.set_zlim([0, 2*np.pi])

 ani = animation.FuncAnimation(f, update, 50, interval=50, blit=True)

Estimated memory usage: 9 MB